From 36cd88670b192e93f611863d58a438b9135b097c Mon Sep 17 00:00:00 2001
From: dkazanc <dkazanc@hotmail.com>
Date: Mon, 25 Feb 2019 17:24:54 +0000
Subject: optim demo upd
---
.../SoftwareX_supp/Demo_SimulData_ParOptimis_SX.py | 18 ++++++++++++++++++
1 file changed, 18 insertions(+)
diff --git a/Wrappers/Python/demos/SoftwareX_supp/Demo_SimulData_ParOptimis_SX.py b/Wrappers/Python/demos/SoftwareX_supp/Demo_SimulData_ParOptimis_SX.py
index a79d0a3..c4f33ba 100644
--- a/Wrappers/Python/demos/SoftwareX_supp/Demo_SimulData_ParOptimis_SX.py
+++ b/Wrappers/Python/demos/SoftwareX_supp/Demo_SimulData_ParOptimis_SX.py
@@ -98,6 +98,12 @@ for i in range(0,param_space):
plt.figure()
plt.plot(erros_vec_sbtv)
+
+# Saving generated data with a unique time label
+h5f = h5py.File('Optim_admm_sbtv.h5', 'w')
+h5f.create_dataset('reg_param_sb_vec', data=reg_param_sb_vec)
+h5f.create_dataset('erros_vec_sbtv', data=erros_vec_sbtv)
+h5f.close()
#%%
param_space = 30
reg_param_rofllt_vec = np.linspace(0.03,0.15,param_space,dtype='float32') # a vector of parameters
@@ -119,6 +125,12 @@ for i in range(0,param_space):
plt.figure()
plt.plot(erros_vec_rofllt)
+
+# Saving generated data with a unique time label
+h5f = h5py.File('Optim_admm_rofllt.h5', 'w')
+h5f.create_dataset('reg_param_rofllt_vec', data=reg_param_rofllt_vec)
+h5f.create_dataset('erros_vec_rofllt', data=erros_vec_rofllt)
+h5f.close()
#%%
param_space = 30
reg_param_tgv_vec = np.linspace(0.03,0.15,param_space,dtype='float32') # a vector of parameters
@@ -139,4 +151,10 @@ for i in range(0,param_space):
plt.figure()
plt.plot(erros_vec_tgv)
+
+# Saving generated data with a unique time label
+h5f = h5py.File('Optim_admm_tgv.h5', 'w')
+h5f.create_dataset('reg_param_tgv_vec', data=reg_param_tgv_vec)
+h5f.create_dataset('erros_vec_tgv', data=erros_vec_tgv)
+h5f.close()
#%%
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